JOB PURPOSE
(General purpose of the position or its significance from the organization point of view and how it contributes to the overall mission/objective of the organization). This job role revolves around defining and implementing data extracting strategies and leading the team to unleash the power of data analytics by interpreting the data to provide insights and support decision-making for organizations benefit.
KEY ACCOUNTABILITIES
(Responsibilities/duties associated with the job. For each responsibility/duty listed, factors are given, on which an individual performance is judged).
Accountabilities Key Performance Indicators
- Strategic Data Roadmap & Execution
- Define and lead the implementation of a long-term data strategy aligned with organizational goals.
- Prioritize data initiatives based on business impact, scalability, and innovation potential.
- Leadership & Team Development
- Manage and grow a high-performing data and analytics team, fostering a culture of ownership, collaboration, and continuous improvement.
- Set clear goals, conduct performance reviews, and support career development.
- Advanced Data Analysis & Business Insights
- Oversee the use of analytical tools (SQL, Python, R) to extract insights that drive strategic decisions.
- Ensure analytical outputs are aligned with business priorities and stakeholder expectations.
- Data Visualization & Executive Reporting
- Guide the development of dashboards and reports using Tableau, Power BI, or Looker to support executive decision-making.
- Ensure visualizations are impactful, accurate, and tailored to diverse audiences.
- Data Governance & Compliance Oversight
- Establish and enforce enterprise-wide data governance policies to ensure data quality, security, and compliance.
- Collaborate with IT and legal teams to manage data risks and regulatory requirements.
- Cross-Functional Collaboration & Stakeholder Engagement
- Act as a strategic partner to business units, translating data needs into actionable solutions.
- Lead stakeholder communications, manage expectations, and ensure alignment between data initiatives and business objectives.
- Overall Project SLAs
- Low Time-to-Insight
- High Data Utilization Rate
SKILLS AND KNOWLEDGE
(Minimum acceptable proficiency for this job which best indicates the education and/or experience requirements of this job and not the incumbent).
Educational Qualifications
- B. Tech (Electrical/Computers)
- BCA / MCA
- Certification in Python / Data Analytics / data visualization tools like Tableau or Power BI.
Relevant and total years of Experience
- 10 to 15 years of Experience.